New Error Bounds for Boole‐Type Inequalities via Third‐Order Derivatives With Applications in Special Means

ABSTRACT In mathematical analysis, inequalities are essential tools for evaluating and approximating the behavior of functions, particularly in the study of convex functions. In this work, we present, for the first time, an analysis of error bounds associated with Boole‐type inequalities for three‐times‐differentiable convex functions in the context of Riemann integrals. Building on this foundation, we derive a new family of Boole‐type inequalities for a broader class of third‐time differentiable ‐convex functions using the Riemann integral. Using a newly established integral identity, further Boole‐type inequalities are obtained by incorporating a summation parameter for ‐convex, convex, and ‐function classes. We also consider cases where the third derivative is bounded, Lipschitz, and a function of bounded variation. The practical relevance of the obtained inequalities is illustrated through their application to special functions and modified Bessel functions, highlighting their usefulness in applied mathematical analysis. Moreover, a computational study is carried out to validate the theoretical findings. In particular, two‐dimensional graphical visualizations are presented to compare the classical first‐, second‐, and third‐order error bounds, clearly demonstrating the improved sharpness achieved through higher‐order differentiability and convexity assumptions. These results extend and generalize existing inequalities, offering both theoretical insights and practical significance in the study of integral inequalities.

Authors

Institutions

Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2026-10-30
DOI
https://doi.org/10.1002/mma.70994
Primary Topic
Mathematical Inequalities and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

New Error Bounds for Boole‐Type Inequalities via Third‐Order Derivatives With Applications in Special Means

Bouharket Benaissa, Hüseyin Budak, Wali Haider, Asia Shehzadi et al.
Mathematical Methods in the Applied Sciences
Mathematical Inequalities and Applications
article

New Error Bounds for Boole‐Type Inequalities via Third‐Order Derivatives With Applications in Special Means

Bouharket Benaissa, Hüseyin Budak, Wali Haider, Asia Shehzadi, Haibo Chen
article en

Abstract

ABSTRACT In mathematical analysis, inequalities are essential tools for evaluating and approximating the behavior of functions, particularly in the study of convex functions. In this work, we present, for the first time, an analysis of error bounds associated with Boole‐type inequalities for three‐times‐differentiable convex functions in the context of Riemann integrals. Building on this foundation, we derive a new family of Boole‐type inequalities for a broader class of third‐time differentiable ‐convex functions using the Riemann integral. Using a newly established integral identity, further Boole‐type inequalities are obtained by incorporating a summation parameter for ‐convex, convex, and ‐function classes. We also consider cases where the third derivative is bounded, Lipschitz, and a function of bounded variation. The practical relevance of the obtained inequalities is illustrated through their application to special functions and modified Bessel functions, highlighting their usefulness in applied mathematical analysis. Moreover, a computational study is carried out to validate the theoretical findings. In particular, two‐dimensional graphical visualizations are presented to compare the classical first‐, second‐, and third‐order error bounds, clearly demonstrating the improved sharpness achieved through higher‐order differentiability and convexity assumptions. These results extend and generalize existing inequalities, offering both theoretical insights and practical significance in the study of integral inequalities.

Mathematical Methods in the Applied Sciences
Central South University (CN), Université IBN Khaldoun Tiaret (DZ), Kocaeli Üniversitesi (TR), Shaanxi Normal University (CN)
Openalex Percentile: Top 7%
Mathematical Inequalities and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon